
Full-Stack Data Scientist Lead (Group Data Platform)
- Ho Chi Minh City
- Permanent
- Full-time
- Translate business challenges into data science projects with measurable outcomes
- Perform end-to-end ML development: data collection, EDA, feature engineering, model training, tuning, validation
- Build, deploy, and operationalize models at scale (batch & real-time)
- Monitor and improve production models, addressing data drift and evolving business needs
- Work with structured & unstructured data (transactions, behavioral, text, NLP, forecasting, personalization)
- Develop reusable ML components, frameworks, and best practices
- Communicate insights effectively to both technical and business stakeholders
- At least 5+ years in applied data science or ML engineering, delivering models from experimentation to production
- Strong foundation in ML, statistics, and optimization
- Proficient in Python and data science libraries (scikit-learn, pandas, NumPy, XGBoost, LightGBM)
- Solid SQL skills and experience with large-scale data platforms (Snowflake, BigQuery, Spark, etc.)
- Familiarity with MLOps (MLflow, Airflow, Docker) and model monitoring
- Strong problem-solving, product mindset, and cross-functional collaboration skills
- Bachelor's/Master's in CS, Data Science, Mathematics, or related fields
- Excellent academic record (GPA ≥ 3.3/4.0) or top universities
- Recognition in competitions (Kaggle, AI Hackathons) or published case studies
- Experience in personalization, demand forecasting, churn prediction, pricing optimization
- Full ownership of the ML lifecycle with measurable impact on millions of customers
- Work with massive, diverse datasets at national scale
- Be part of a high-priority digital transformation initiative in a leading Vietnamese conglomerate
- Competitive compensation with clear career growth.